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首页> 外文期刊>IEEE Transactions on Information Theory >Asymptotically optimal low-complexity sequential lossless coding for piecewise-stationary memoryless sources .I. The regular case
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Asymptotically optimal low-complexity sequential lossless coding for piecewise-stationary memoryless sources .I. The regular case

机译:分段平稳无记忆源的渐近最优低复杂度顺序无损编码。常规情况

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摘要

The lower bound on the redundancy for lossless universal coding of regular memoryless sources with a bounded number of abrupt changes in the statistics is shown to be asymptotically achievable using a fixed per-letter computational complexity sequential compression scheme with fixed storage complexity. The scheme which outperforms any other known fixed-complexity scheme when regularity conditions hold is presented, and its redundancy is upper-bounded. Although the upper bounds are merely asymptotic, simulation results show that even for relatively short sequences, the redundancy obtained by asymptotically optimal schemes of higher complexity can still be achieved with fixed per-letter complexity. Furthermore, in practice, a fixed-complexity scheme based on the proposed scheme can in most cases achieve optimal redundancy even when the regularity conditions do not hold.
机译:使用具有固定存储复杂度的固定的按字母计算的复杂度顺序压缩方案,可以渐近地实现对统计数据中有突变突然变化的常规无记忆源进行无损通用编码的冗余下限。当规则性条件成立时,该方案优于任何其他已知的固定复杂性方案,并且其冗余性较高。尽管上限只是渐近的,但是仿真结果表明,即使对于相对较短的序列,通过较高的复杂度的渐近最优方案获得的冗余仍可以在固定的每个字母复杂度下实现。此外,在实践中,即使在规则性条件不成立的情况下,基于提议的方案的固定复杂性方案在大多数情况下也可以实现最佳冗余。

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